Abstract
The post processing accuracy of traditional kinematic PPP is at decimeters level, this is a key factor to limit the wide application of kinematic PPP. There may be some prior information during kinematic PPP by GNSS, and this information contains the relation between estimated parameters or external information about the parameters. If this prior information has enough precision, the solution precision of traditional kinematic PPP can be largely improved. A kinematic PPP function model, incorporating some prior information, was purposed in this paper, and the corresponding formulas based on Kalman filter is derived as an example. The proposed algorithm was verified by real GNSS data collected in April 2013. The research results showed the accuracy of kinematic PPP can reach 5 cm after adopting the relaxed line constraint. The accuracy of position can be improved at a certain extent even if partial constraint was adopted, the most effective improvement is the up component, then the east component. In addition, the precision of ZTD can be improved 6 mm at least by adopting either the line constraint or partial constraint.
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